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ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
16 years 1 months ago
Parallel Mining of Frequent Closed Patterns: Harnessing Modern Computer Architectures
Inspired by emerging multi-core computer architectures, in this paper we present MT CLOSED, a multi-threaded algorithm for frequent closed itemset mining (FCIM). To the best of ou...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
AUSDM
2007
Springer
185views Data Mining» more  AUSDM 2007»
16 years 1 months ago
An Approach to Argumentation Context Mining from Dialogue History in an E-Market Scenario
Argumentation allows agents to exchange additional information to argue about their beliefs and other mental attitudes during the negotiation process. Utterances and subsequent obs...
Khandaker Shahidul Islam
163
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ICDM
2006
IEEE
134views Data Mining» more  ICDM 2006»
16 years 27 days ago
Fast Frequent Free Tree Mining in Graph Databases
Free tree, as a special graph which is connected, undirected and acyclic, is extensively used in domains such as computational biology, pattern recognition, computer networks, XML...
Peixiang Zhao, Jeffrey Xu Yu
197
Voted
CIKM
2004
Springer
16 years 7 days ago
Scalable sequential pattern mining for biological sequences
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
Ke Wang, Yabo Xu, Jeffrey Xu Yu
ICWE
2004
Springer
16 years 6 days ago
Behaviour Recovery and Complicated Pattern Definition in Web Usage Mining
Data mining includes four steps: data preparation, pattern mining, and pattern analysis and pattern application. But in web environment, the user activities become much more comple...
Long Wang 0002, Christoph Meinel